An Empirical Investigation of the Reward Incentive and Trip Purposes on Departure Time Behavior Change

Arian, Ali; Ermagun, Alireza; Zhu, Xiaoyu; Chiu, Yi Chang

doi:10.1016/bs.atpp.2018.07.001

Cited by 13 publications

(5 citation statements)

References 17 publications

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“…Ettema et al ( 12 ) studied the issue by using financial or credit incentives to encourage travelers not to use their cars during peak hour, showing that incentives are effective in changing travelers’ behavior. Arian et al ( 13 ) studied incentives and car travel, and revealed that to be more effective, incentives may need to be tailored, based on the time of day and the purpose of the trip. The findings highlight that traveling for recreation, errands, and work are the trip purposes most sensitive to incentives in the morning peak hour.…”

Section: Literature Reviewmentioning

confidence: 99%

Would You Wait? Bus Choice Behavior Analysis Considering Various Incentives

Pan

Waygood

Patterson

2022

Transportation Research Record: Journal of the Transportation R

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During the peak hour, ridership is much higher, and this can lead to problems such as overcrowding for customers and vehicle bunching for the operator as dwell times increase for the lead bus. In this paper, we examined whether to avoid overcrowding people might be willing to wait for the next bus knowing there were seats and if they were offered an incentive. Three distinct types of incentive were offered, defined according to goal-framing theory. To obtain the choice data, a discrete choice experiment was developed and incorporated into an online survey that was distributed to public transport users. A binary logit model and a mixed multinomial logit model were used to investigate how different factors influence public transport users’ bus choice behavior. Results show several considerations that increase the likelihood of users agreeing to the request to wait. These include the weather being sunny/fine, not very cold, or both, the purpose being seeing a friend or shopping, longer in-vehicle time, shorter proposed bus waiting time, and the incentive. The results of the mixed multinomial logit model show variation among the respondents with regard to the incentives. We found that age, gender, work status, possession of a driver ID, and vehicle availability are significant predictors for incentive preference. In that our models target specific groups of users with tailored incentives, the results indicate how to persuade public transport users to avoid overcrowded buses.

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Section: Literature Reviewmentioning

confidence: 99%

Would You Wait? Bus Choice Behavior Analysis Considering Various Incentives

Pan

Waygood

Patterson

2022

Transportation Research Record: Journal of the Transportation R

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“…Incentives have been used as a mechanism to balance or “flatten” travel demand as a means of travel demand management (also known as mobility management in Europe). For example, Ettema et al ( 18 ) and Arian et al ( 19 ) tested the use of incentives to encourage drivers to avoid peak hour. However, how incentives might influence public transit user itinerary choice behavior has not been widely studied.…”

Section: Literature Reviewmentioning

confidence: 99%

Public Transit Itinerary Choice Analysis Considering Various Incentives

Pan

Waygood

Patterson

2023

Transportation Research Record: Journal of the Transportation R

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Previous research on public transport user preferences has primarily focused on mode choice, transfer penalties, and preferences related to service qualities. Individuals are generally found to not like waiting, transfers, or overcrowding. However, from an operation perspective, it could be important to convince users to change to a different itinerary to reduce overcrowding, which can cause problems such as bunching. This would most likely require convincing the user to voluntarily accept a longer wait or to take a different route potentially with a transfer. One means of doing so might be through incentives or offering a shared taxi. Incentivizing transit users to switch to a less-crowded itinerary, which could potentially be a way to manage bus overcrowding, is not well-studied. Through a discrete choice experiment, this study thus filled this research gap by testing people’s willingness to change routes or to take a shared taxi in exchange for one of three distinct types of incentives. A mixed binary logit model and a mixed nested logit model were used to investigate how different factors influence public transit user itinerary choice behavior. The results suggested that some people would be willing to change to the proposed alternative. Heterogeneity within the responses was seen as transit users were found to have distinct preferences for different incentives, and the value of the incentives influenced users differently. Our models and results could be helpful for public transit agencies to improve efficiency and reduce costs by better balancing the travel demand.

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“…In another app, one could see the possible routes based on different modes of transport, focusing on sustainable modes, and focusing, i.a., on time and economic costs (next to CO 2 emitted and calories burned) [41]. Two apps focusing on organizing car-driver's departure time were tested by [51,53], including information on travel time and current congestion predictions and suggestions how to avoid congestions via alternative routes.…”

Section: Organizational Informationmentioning

confidence: 99%

Promoting Sustainable Mobility: To What Extent Is “Health” Considered by Mobility App Studies? A Review and a Conceptual Framework

Marquart

Schuppan

2021

Sustainability

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Promoting cycling and walking in cities improves individual health and wellbeing and, together with public transport, promotes societal sustainability patterns. Recently, smartphone apps informing and motivating sustainable mobility usage have increased. Current research has applied and investigated these apps; however, none have specifically considered mobility-related health components within mobility apps. The aim of this study is to examine the (potential) role of health-related information provided in mobility apps to influence mobility behavior. Following a systematic literature review of empirical studies applying mobility apps, this paper (1) investigates the studies and mobility apps regarding communicated information, strategies, and effects on mobility behavior and (2) explores how, and to what extent, health and its components are addressed. The reviewed studies focus on environmental information, especially CO2-emissions. Health is represented by physical activity or calories burned. The self-exposure to air pollution, noise, heat, traffic injuries or green spaces is rarely addressed. We propose a conceptual framework based on protection motivation theory to include health in mobility apps for sustainable mobility behavior change. Addressing people’s self-protective motivation could empower mobility app users. It might be a possible trigger for behavior change, leading towards healthy and sustainable mobility and thus, have individual and societal benefits.

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An Empirical Investigation of the Reward Incentive and Trip Purposes on Departure Time Behavior Change

Cited by 13 publications

References 17 publications

Would You Wait? Bus Choice Behavior Analysis Considering Various Incentives

Would You Wait? Bus Choice Behavior Analysis Considering Various Incentives

Public Transit Itinerary Choice Analysis Considering Various Incentives

Promoting Sustainable Mobility: To What Extent Is “Health” Considered by Mobility App Studies? A Review and a Conceptual Framework

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